
from math import pi, sqrt, tan







def 							A__       (    lowerCamelCase    )	->						float:
				if side_length < 0:
								raise ValueError("""surface_area_cube() only accepts non-negative values"""    )
				return 6 * side_length**2







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if length < 0 or breadth < 0 or height < 0:
								raise ValueError("""surface_area_cuboid() only accepts non-negative values"""    )
				return 2 * ((length * breadth) + (breadth * height) + (length * height))







def 							A__       (    lowerCamelCase    )	->						float:
				if radius < 0:
								raise ValueError("""surface_area_sphere() only accepts non-negative values"""    )
				return 4 * pi * radius**2







def 							A__       (    lowerCamelCase    )	->						float:
				if radius < 0:
								raise ValueError("""surface_area_hemisphere() only accepts non-negative values"""    )
				return 3 * pi * radius**2







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if radius < 0 or height < 0:
								raise ValueError("""surface_area_cone() only accepts non-negative values"""    )
				return pi * radius * (radius + (height**2 + radius**2) ** 0.5)







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if radius_a < 0 or radius_a < 0 or height < 0:
								raise ValueError(
								    """surface_area_conical_frustum() only accepts non-negative values"""    )
				UpperCamelCase_:				Tuple						=    (height**2 + (radius_a - radius_a) ** 2) ** 0.5
				return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if radius < 0 or height < 0:
								raise ValueError("""surface_area_cylinder() only accepts non-negative values"""    )
				return 2 * pi * radius * (height + radius)







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if torus_radius < 0 or tube_radius < 0:
								raise ValueError("""surface_area_torus() only accepts non-negative values"""    )
				if torus_radius < tube_radius:
								raise ValueError(
								    """surface_area_torus() does not support spindle or self intersecting tori"""    )
				return 4 * pow(lowerCamelCase  ,     2    ) * torus_radius * tube_radius







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if length < 0 or width < 0:
								raise ValueError("""area_rectangle() only accepts non-negative values"""    )
				return length * width







def 							A__       (    lowerCamelCase    )	->						float:
				if side_length < 0:
								raise ValueError("""area_square() only accepts non-negative values"""    )
				return side_length**2







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if base < 0 or height < 0:
								raise ValueError("""area_triangle() only accepts non-negative values"""    )
				return (base * height) / 2







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if sidea < 0 or sidea < 0 or sidea < 0:
								raise ValueError("""area_triangle_three_sides() only accepts non-negative values"""    )
				elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
								raise ValueError("""Given three sides do not form a triangle"""    )
				UpperCamelCase_:				Optional[Any]						=    (sidea + sidea + sidea) / 2
				UpperCamelCase_:				Optional[int]						=    sqrt(
				    semi_perimeter
				    * (semi_perimeter - sidea)
				    * (semi_perimeter - sidea)
				    * (semi_perimeter - sidea)    )
				return area







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if base < 0 or height < 0:
								raise ValueError("""area_parallelogram() only accepts non-negative values"""    )
				return base * height







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if basea < 0 or basea < 0 or height < 0:
								raise ValueError("""area_trapezium() only accepts non-negative values"""    )
				return 1 / 2 * (basea + basea) * height







def 							A__       (    lowerCamelCase    )	->						float:
				if radius < 0:
								raise ValueError("""area_circle() only accepts non-negative values"""    )
				return pi * radius**2







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if radius_x < 0 or radius_y < 0:
								raise ValueError("""area_ellipse() only accepts non-negative values"""    )
				return pi * radius_x * radius_y







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if diagonal_a < 0 or diagonal_a < 0:
								raise ValueError("""area_rhombus() only accepts non-negative values"""    )
				return 1 / 2 * diagonal_a * diagonal_a







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						float:
				if not isinstance(lowerCamelCase  ,     lowerCamelCase    ) or sides < 3:
								raise ValueError(
								    """area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides"""    )
				elif length < 0:
								raise ValueError(
								    """area_reg_polygon() only accepts non-negative values as \
length of a side"""    )
				return (sides * length**2) / (4 * tan(pi / sides    ))
				return (sides * length**2) / (4 * tan(pi / sides    ))


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

							print("""[DEMO] Areas of various geometric shapes: \n""")
							print(F"""Rectangle: {area_rectangle(10, 20) = }""")
							print(F"""Square: {area_square(10) = }""")
							print(F"""Triangle: {area_triangle(10, 10) = }""")
							print(F"""Triangle: {area_triangle_three_sides(5, 12, 13) = }""")
							print(F"""Parallelogram: {area_parallelogram(10, 20) = }""")
							print(F"""Rhombus: {area_rhombus(10, 20) = }""")
							print(F"""Trapezium: {area_trapezium(10, 20, 30) = }""")
							print(F"""Circle: {area_circle(20) = }""")
							print(F"""Ellipse: {area_ellipse(10, 20) = }""")
							print("""\nSurface Areas of various geometric shapes: \n""")
							print(F"""Cube: {surface_area_cube(20) = }""")
							print(F"""Cuboid: {surface_area_cuboid(10, 20, 30) = }""")
							print(F"""Sphere: {surface_area_sphere(20) = }""")
							print(F"""Hemisphere: {surface_area_hemisphere(20) = }""")
							print(F"""Cone: {surface_area_cone(10, 20) = }""")
							print(F"""Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }""")
							print(F"""Cylinder: {surface_area_cylinder(10, 20) = }""")
							print(F"""Torus: {surface_area_torus(20, 10) = }""")
							print(F"""Equilateral Triangle: {area_reg_polygon(3, 10) = }""")
							print(F"""Square: {area_reg_polygon(4, 10) = }""")
							print(F"""Reqular Pentagon: {area_reg_polygon(5, 10) = }""")








import subprocess
import sys

from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch

class 							_UpperCamelCase					(       _A	):






			'''simple docstring'''

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Optional[Any]						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				List[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise RuntimeError(\"Offline mode is enabled, we shouldn't access internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				int						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Tuple						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				Optional[int]						=    self.get_env()
							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				Optional[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							Any   ):
							# python one-liner segments
							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				str						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				Any						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Optional[int]						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Faking flaky internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				Optional[int]						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				List[str]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							int   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Dict						=    """
from transformers import BertConfig, BertModel, BertTokenizer
        """

							UpperCamelCase_:				Optional[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert-sharded\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise ValueError(\"Offline mode is enabled\")
socket.socket = offline_socket
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Union[str, Any]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Union[str, Any]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# next emulate no network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]

							# Doesn't fail anymore since the model is in the cache due to other tests, so commenting this.
							# env["TRANSFORMERS_OFFLINE"] = "0"
							# result = subprocess.run(cmd, env=env, check=False, capture_output=True)
							# self.assertEqual(result.returncode, 1, result.stderr)

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							UpperCamelCase_:				Dict						=    """
from transformers import pipeline
        """
							UpperCamelCase_:				Union[str, Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
pipe = pipeline(model=mname)
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Offline mode is enabled\")
socket.socket = offline_socket
        """
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				int						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]
							UpperCamelCase_:				Any						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						1    ,						result.stderr   )
							self.assertIn(
							    """You cannot infer task automatically within `pipeline` when using offline mode"""    ,						result.stderr.decode().replace("""\n"""    ,						""""""   )    ,						)




			@require_torch
			def    lowerCAmelCase__						(							self			:							Optional[int]   ):
							UpperCamelCase_:				str						=    """
from transformers import AutoModel
        """
							UpperCamelCase_:				Dict						=    """
mname = \"hf-internal-testing/test_dynamic_model\"
AutoModel.from_pretrained(mname, trust_remote_code=True)
print(\"success\")
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				List[str]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )






